Overview

Brought to you by YData

Dataset statistics

Number of variables22
Number of observations3116945
Missing cells4
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory523.2 MiB
Average record size in memory176.0 B

Variable types

Numeric20
Categorical2

Alerts

cap-diameter is highly overall correlated with stem-height and 1 other fieldsHigh correlation
has-ring is highly overall correlated with ring-typeHigh correlation
ring-type is highly overall correlated with has-ringHigh correlation
stem-height is highly overall correlated with cap-diameterHigh correlation
stem-width is highly overall correlated with cap-diameterHigh correlation
veil-color is highly overall correlated with veil-typeHigh correlation
veil-type is highly overall correlated with veil-colorHigh correlation
id is uniformly distributedUniform
id has unique valuesUnique
cap-surface has 671023 (21.5%) zerosZeros
gill-attachment has 523936 (16.8%) zerosZeros
gill-spacing has 1258435 (40.4%) zerosZeros
stem-root has 2757023 (88.5%) zerosZeros
stem-surface has 1980861 (63.6%) zerosZeros
veil-type has 2957493 (94.9%) zerosZeros
veil-color has 2740947 (87.9%) zerosZeros
ring-type has 128880 (4.1%) zerosZeros
spore-print-color has 2849682 (91.4%) zerosZeros

Reproduction

Analysis started2024-08-21 11:11:51.254561
Analysis finished2024-08-21 11:16:58.210714
Duration5 minutes and 6.96 seconds
Software versionydata-profiling vv4.9.0
Download configurationconfig.json

Variables

id
Real number (ℝ)

UNIFORM  UNIQUE 

Distinct3116945
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1558472
Minimum0
Maximum3116944
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size23.8 MiB
2024-08-21T11:16:58.324416image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile155847.2
Q1779236
median1558472
Q32337708
95-th percentile2961096.8
Maximum3116944
Range3116944
Interquartile range (IQR)1558472

Descriptive statistics

Standard deviation899784.66
Coefficient of variation (CV)0.57735055
Kurtosis-1.2
Mean1558472
Median Absolute Deviation (MAD)779236
Skewness-2.5075827 × 10-15
Sum4.8576715 × 1012
Variance8.0961244 × 1011
MonotonicityStrictly increasing
2024-08-21T11:16:58.522777image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1
 
< 0.1%
2077967 1
 
< 0.1%
2077958 1
 
< 0.1%
2077959 1
 
< 0.1%
2077960 1
 
< 0.1%
2077961 1
 
< 0.1%
2077962 1
 
< 0.1%
2077963 1
 
< 0.1%
2077964 1
 
< 0.1%
2077965 1
 
< 0.1%
Other values (3116935) 3116935
> 99.9%
ValueCountFrequency (%)
0 1
< 0.1%
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
ValueCountFrequency (%)
3116944 1
< 0.1%
3116943 1
< 0.1%
3116942 1
< 0.1%
3116941 1
< 0.1%
3116940 1
< 0.1%
3116939 1
< 0.1%
3116938 1
< 0.1%
3116937 1
< 0.1%
3116936 1
< 0.1%
3116935 1
< 0.1%

class
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size172.4 MiB
1
1705396 
0
1411549 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters3116945
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
1 1705396
54.7%
0 1411549
45.3%

Length

2024-08-21T11:16:58.699546image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-08-21T11:16:58.824309image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
ValueCountFrequency (%)
1 1705396
54.7%
0 1411549
45.3%

Most occurring characters

ValueCountFrequency (%)
1 1705396
54.7%
0 1411549
45.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3116945
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 1705396
54.7%
0 1411549
45.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3116945
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 1705396
54.7%
0 1411549
45.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3116945
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 1705396
54.7%
0 1411549
45.3%

cap-diameter
Real number (ℝ)

HIGH CORRELATION 

Distinct3913
Distinct (%)0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean6.3098484
Minimum0.03
Maximum80.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.8 MiB
2024-08-21T11:16:58.978817image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.03
5-th percentile1.34
Q13.32
median5.75
Q38.24
95-th percentile13.23
Maximum80.67
Range80.64
Interquartile range (IQR)4.92

Descriptive statistics

Standard deviation4.6579305
Coefficient of variation (CV)0.73820007
Kurtosis32.743381
Mean6.3098484
Median Absolute Deviation (MAD)2.46
Skewness3.9726092
Sum19667425
Variance21.696317
MonotonicityNot monotonic
2024-08-21T11:16:59.179831image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.49 8164
 
0.3%
3.18 7942
 
0.3%
3.14 7361
 
0.2%
1.51 7072
 
0.2%
4.04 6828
 
0.2%
3.28 6826
 
0.2%
2.87 6807
 
0.2%
3.85 6642
 
0.2%
3.24 6634
 
0.2%
1.52 6562
 
0.2%
Other values (3903) 3046103
97.7%
ValueCountFrequency (%)
0.03 1
 
< 0.1%
0.1 1
 
< 0.1%
0.3 1
 
< 0.1%
0.38 1
 
< 0.1%
0.4 6
 
< 0.1%
0.41 2
 
< 0.1%
0.42 3
 
< 0.1%
0.44 15
< 0.1%
0.45 2
 
< 0.1%
0.46 5
 
< 0.1%
ValueCountFrequency (%)
80.67 1
< 0.1%
64.46 1
< 0.1%
62.4 1
< 0.1%
62.3 1
< 0.1%
62.06 1
< 0.1%
62.01 1
< 0.1%
60.97 1
< 0.1%
59.76 1
< 0.1%
59.74 2
< 0.1%
59.66 1
< 0.1%

cap-shape
Real number (ℝ)

Distinct75
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8492569
Minimum0
Maximum74
Zeros40
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size23.8 MiB
2024-08-21T11:16:59.374658image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q34
95-th percentile7
Maximum74
Range74
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.9476627
Coefficient of variation (CV)0.68356866
Kurtosis9.3321026
Mean2.8492569
Median Absolute Deviation (MAD)1
Skewness1.4902652
Sum8880977
Variance3.79339
MonotonicityNot monotonic
2024-08-21T11:16:59.570787image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1436026
46.1%
1 676238
21.7%
7 365146
 
11.7%
4 318646
 
10.2%
5 108835
 
3.5%
3 106967
 
3.4%
6 104520
 
3.4%
8 65
 
< 0.1%
9 60
 
< 0.1%
10 41
 
< 0.1%
Other values (65) 401
 
< 0.1%
ValueCountFrequency (%)
0 40
 
< 0.1%
1 676238
21.7%
2 1436026
46.1%
3 106967
 
3.4%
4 318646
 
10.2%
5 108835
 
3.5%
6 104520
 
3.4%
7 365146
 
11.7%
8 65
 
< 0.1%
9 60
 
< 0.1%
ValueCountFrequency (%)
74 1
< 0.1%
73 1
< 0.1%
72 1
< 0.1%
71 1
< 0.1%
70 1
< 0.1%
69 1
< 0.1%
68 1
< 0.1%
67 1
< 0.1%
66 1
< 0.1%
65 1
< 0.1%

cap-surface
Real number (ℝ)

ZEROS 

Distinct84
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9110408
Minimum0
Maximum83
Zeros671023
Zeros (%)21.5%
Negative0
Negative (%)0.0%
Memory size23.8 MiB
2024-08-21T11:16:59.767699image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q37
95-th percentile10
Maximum83
Range83
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.3840852
Coefficient of variation (CV)0.86526462
Kurtosis0.89485118
Mean3.9110408
Median Absolute Deviation (MAD)3
Skewness0.59084092
Sum12190499
Variance11.452033
MonotonicityNot monotonic
2024-08-21T11:16:59.949938image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 671023
21.5%
5 460777
14.8%
1 384970
12.4%
3 327826
10.5%
2 284460
9.1%
7 263729
 
8.5%
8 206832
 
6.6%
11 128875
 
4.1%
6 119712
 
3.8%
9 113440
 
3.6%
Other values (74) 155301
 
5.0%
ValueCountFrequency (%)
0 671023
21.5%
1 384970
12.4%
2 284460
9.1%
3 327826
10.5%
4 44859
 
1.4%
5 460777
14.8%
6 119712
 
3.8%
7 263729
 
8.5%
8 206832
 
6.6%
9 113440
 
3.6%
ValueCountFrequency (%)
83 1
< 0.1%
82 1
< 0.1%
81 1
< 0.1%
80 1
< 0.1%
79 1
< 0.1%
78 1
< 0.1%
77 1
< 0.1%
76 1
< 0.1%
75 1
< 0.1%
74 1
< 0.1%

cap-color
Real number (ℝ)

Distinct79
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.0158768
Minimum0
Maximum78
Zeros12
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size23.8 MiB
2024-08-21T11:17:00.131777image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median6
Q37
95-th percentile10
Maximum78
Range78
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.080569
Coefficient of variation (CV)0.34584634
Kurtosis8.3244378
Mean6.0158768
Median Absolute Deviation (MAD)1
Skewness0.37576687
Sum18751157
Variance4.3287673
MonotonicityNot monotonic
2024-08-21T11:17:00.564209image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 1359542
43.6%
8 386627
 
12.4%
5 379442
 
12.2%
4 210825
 
6.8%
7 197290
 
6.3%
2 178847
 
5.7%
10 91838
 
2.9%
9 78236
 
2.5%
1 73172
 
2.3%
3 61313
 
2.0%
Other values (69) 99813
 
3.2%
ValueCountFrequency (%)
0 12
 
< 0.1%
1 73172
 
2.3%
2 178847
 
5.7%
3 61313
 
2.0%
4 210825
 
6.8%
5 379442
 
12.2%
6 1359542
43.6%
7 197290
 
6.3%
8 386627
 
12.4%
9 78236
 
2.5%
ValueCountFrequency (%)
78 1
< 0.1%
77 1
< 0.1%
76 1
< 0.1%
75 1
< 0.1%
74 1
< 0.1%
73 1
< 0.1%
72 1
< 0.1%
71 1
< 0.1%
70 1
< 0.1%
69 1
< 0.1%

does-bruise-or-bleed
Real number (ℝ)

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1759367
Minimum0
Maximum26
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size23.8 MiB
2024-08-21T11:17:00.738560image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum26
Range26
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.38856217
Coefficient of variation (CV)0.3304278
Kurtosis87.463388
Mean1.1759367
Median Absolute Deviation (MAD)0
Skewness3.4320261
Sum3665330
Variance0.15098056
MonotonicityNot monotonic
2024-08-21T11:17:00.900241image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1 2569743
82.4%
2 547085
 
17.6%
5 14
 
< 0.1%
16 11
 
< 0.1%
21 9
 
< 0.1%
0 8
 
< 0.1%
11 7
 
< 0.1%
13 7
 
< 0.1%
7 7
 
< 0.1%
8 7
 
< 0.1%
Other values (17) 47
 
< 0.1%
ValueCountFrequency (%)
0 8
 
< 0.1%
1 2569743
82.4%
2 547085
 
17.6%
3 4
 
< 0.1%
4 1
 
< 0.1%
5 14
 
< 0.1%
6 3
 
< 0.1%
7 7
 
< 0.1%
8 7
 
< 0.1%
9 4
 
< 0.1%
ValueCountFrequency (%)
26 1
 
< 0.1%
25 1
 
< 0.1%
24 1
 
< 0.1%
23 4
< 0.1%
22 1
 
< 0.1%
21 9
< 0.1%
20 6
< 0.1%
19 6
< 0.1%
18 3
 
< 0.1%
17 2
 
< 0.1%

gill-attachment
Real number (ℝ)

ZEROS 

Distinct79
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8247146
Minimum0
Maximum78
Zeros523936
Zeros (%)16.8%
Negative0
Negative (%)0.0%
Memory size23.8 MiB
2024-08-21T11:17:01.075342image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q34
95-th percentile7
Maximum78
Range78
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.2051322
Coefficient of variation (CV)0.78065664
Kurtosis6.3034275
Mean2.8247146
Median Absolute Deviation (MAD)2
Skewness0.67485454
Sum8804480
Variance4.862608
MonotonicityNot monotonic
2024-08-21T11:17:01.277292image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 646034
20.7%
4 589236
18.9%
0 523936
16.8%
2 360878
11.6%
5 301858
9.7%
3 295439
9.5%
7 279110
9.0%
6 119953
 
3.8%
19 74
 
< 0.1%
15 56
 
< 0.1%
Other values (69) 371
 
< 0.1%
ValueCountFrequency (%)
0 523936
16.8%
1 646034
20.7%
2 360878
11.6%
3 295439
9.5%
4 589236
18.9%
5 301858
9.7%
6 119953
 
3.8%
7 279110
9.0%
8 16
 
< 0.1%
9 22
 
< 0.1%
ValueCountFrequency (%)
78 1
< 0.1%
77 1
< 0.1%
76 1
< 0.1%
75 1
< 0.1%
74 1
< 0.1%
73 1
< 0.1%
72 1
< 0.1%
71 1
< 0.1%
70 1
< 0.1%
69 1
< 0.1%

gill-spacing
Real number (ℝ)

ZEROS 

Distinct49
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8044611
Minimum0
Maximum48
Zeros1258435
Zeros (%)40.4%
Negative0
Negative (%)0.0%
Memory size23.8 MiB
2024-08-21T11:17:01.475941image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum48
Range48
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.81681823
Coefficient of variation (CV)1.0153608
Kurtosis44.153787
Mean0.8044611
Median Absolute Deviation (MAD)1
Skewness1.7961549
Sum2507461
Variance0.66719202
MonotonicityNot monotonic
2024-08-21T11:17:01.670293image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1 1331054
42.7%
0 1258435
40.4%
2 407932
 
13.1%
3 119380
 
3.8%
11 24
 
< 0.1%
6 17
 
< 0.1%
14 16
 
< 0.1%
5 12
 
< 0.1%
4 8
 
< 0.1%
21 8
 
< 0.1%
Other values (39) 59
 
< 0.1%
ValueCountFrequency (%)
0 1258435
40.4%
1 1331054
42.7%
2 407932
 
13.1%
3 119380
 
3.8%
4 8
 
< 0.1%
5 12
 
< 0.1%
6 17
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
9 4
 
< 0.1%
ValueCountFrequency (%)
48 1
< 0.1%
47 1
< 0.1%
46 1
< 0.1%
45 1
< 0.1%
44 1
< 0.1%
43 1
< 0.1%
42 1
< 0.1%
41 1
< 0.1%
40 1
< 0.1%
39 1
< 0.1%

gill-color
Real number (ℝ)

Distinct64
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8994429
Minimum0
Maximum63
Zeros57
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size23.8 MiB
2024-08-21T11:17:01.854391image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median3
Q36
95-th percentile10
Maximum63
Range63
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.9484777
Coefficient of variation (CV)0.75612794
Kurtosis0.88796056
Mean3.8994429
Median Absolute Deviation (MAD)2
Skewness0.916366
Sum12154349
Variance8.6935207
MonotonicityNot monotonic
2024-08-21T11:17:02.039670image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 931538
29.9%
2 543386
17.4%
5 469464
15.1%
7 343626
 
11.0%
3 212164
 
6.8%
8 157119
 
5.0%
4 127970
 
4.1%
6 119694
 
3.8%
12 62799
 
2.0%
11 56047
 
1.8%
Other values (54) 93138
 
3.0%
ValueCountFrequency (%)
0 57
 
< 0.1%
1 931538
29.9%
2 543386
17.4%
3 212164
 
6.8%
4 127970
 
4.1%
5 469464
15.1%
6 119694
 
3.8%
7 343626
 
11.0%
8 157119
 
5.0%
9 47247
 
1.5%
ValueCountFrequency (%)
63 1
< 0.1%
62 1
< 0.1%
61 1
< 0.1%
60 1
< 0.1%
59 1
< 0.1%
58 1
< 0.1%
57 1
< 0.1%
56 1
< 0.1%
55 1
< 0.1%
54 1
< 0.1%

stem-height
Real number (ℝ)

HIGH CORRELATION 

Distinct2749
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.3483333
Minimum0
Maximum88.72
Zeros554
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size23.8 MiB
2024-08-21T11:17:02.228318image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.16
Q14.67
median5.88
Q37.41
95-th percentile11.2
Maximum88.72
Range88.72
Interquartile range (IQR)2.74

Descriptive statistics

Standard deviation2.6997548
Coefficient of variation (CV)0.42526985
Kurtosis7.7615498
Mean6.3483333
Median Absolute Deviation (MAD)1.33
Skewness1.9266817
Sum19787406
Variance7.288676
MonotonicityNot monotonic
2024-08-21T11:17:02.410608image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.24 12332
 
0.4%
5.92 11821
 
0.4%
5.32 10988
 
0.4%
5.35 10431
 
0.3%
5.99 10402
 
0.3%
6.03 10271
 
0.3%
5.54 10265
 
0.3%
5.77 10153
 
0.3%
4.27 10080
 
0.3%
5.65 9994
 
0.3%
Other values (2739) 3010208
96.6%
ValueCountFrequency (%)
0 554
< 0.1%
0.74 1
 
< 0.1%
0.77 1
 
< 0.1%
0.91 1
 
< 0.1%
0.93 1
 
< 0.1%
0.97 2
 
< 0.1%
0.98 1
 
< 0.1%
1 1
 
< 0.1%
1.01 1
 
< 0.1%
1.03 1
 
< 0.1%
ValueCountFrequency (%)
88.72 1
< 0.1%
57.22 1
< 0.1%
53.93 1
< 0.1%
53.87 1
< 0.1%
53.82 1
< 0.1%
53.03 1
< 0.1%
51.41 1
< 0.1%
50.78 1
< 0.1%
50.27 1
< 0.1%
49.37 1
< 0.1%

stem-width
Real number (ℝ)

HIGH CORRELATION 

Distinct5836
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.153785
Minimum0
Maximum102.9
Zeros497
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size23.8 MiB
2024-08-21T11:17:02.595248image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.58
Q14.97
median9.65
Q315.63
95-th percentile26.49
Maximum102.9
Range102.9
Interquartile range (IQR)10.66

Descriptive statistics

Standard deviation8.0954773
Coefficient of variation (CV)0.72580538
Kurtosis2.4489761
Mean11.153785
Median Absolute Deviation (MAD)5.24
Skewness1.2354271
Sum34765735
Variance65.536753
MonotonicityNot monotonic
2024-08-21T11:17:02.785252image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.41 7829
 
0.3%
2.45 7353
 
0.2%
2.49 7087
 
0.2%
2.56 6824
 
0.2%
2.47 6709
 
0.2%
2.52 6660
 
0.2%
2.51 6535
 
0.2%
2.64 6467
 
0.2%
2.6 6366
 
0.2%
2.61 6117
 
0.2%
Other values (5826) 3048998
97.8%
ValueCountFrequency (%)
0 497
< 0.1%
0.44 2
 
< 0.1%
0.48 2
 
< 0.1%
0.49 1
 
< 0.1%
0.5 3
 
< 0.1%
0.51 1
 
< 0.1%
0.52 21
 
< 0.1%
0.53 16
 
< 0.1%
0.54 11
 
< 0.1%
0.55 12
 
< 0.1%
ValueCountFrequency (%)
102.9 1
 
< 0.1%
102.48 6
< 0.1%
101.69 3
< 0.1%
98 2
 
< 0.1%
94.24 3
< 0.1%
94.05 1
 
< 0.1%
92.51 1
 
< 0.1%
91.91 1
 
< 0.1%
91 1
 
< 0.1%
89.45 2
 
< 0.1%

stem-root
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.26962266
Minimum0
Maximum38
Zeros2757023
Zeros (%)88.5%
Negative0
Negative (%)0.0%
Memory size23.8 MiB
2024-08-21T11:17:02.956113image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum38
Range38
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.88409033
Coefficient of variation (CV)3.2789912
Kurtosis30.683091
Mean0.26962266
Median Absolute Deviation (MAD)0
Skewness4.0671329
Sum840399
Variance0.78161571
MonotonicityNot monotonic
2024-08-21T11:17:03.133149image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 2757023
88.5%
1 165801
 
5.3%
4 116946
 
3.8%
3 47803
 
1.5%
2 28592
 
0.9%
5 597
 
< 0.1%
12 24
 
< 0.1%
9 14
 
< 0.1%
14 12
 
< 0.1%
16 12
 
< 0.1%
Other values (29) 121
 
< 0.1%
ValueCountFrequency (%)
0 2757023
88.5%
1 165801
 
5.3%
2 28592
 
0.9%
3 47803
 
1.5%
4 116946
 
3.8%
5 597
 
< 0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
9 14
 
< 0.1%
ValueCountFrequency (%)
38 1
 
< 0.1%
37 1
 
< 0.1%
36 1
 
< 0.1%
35 1
 
< 0.1%
34 2
 
< 0.1%
33 1
 
< 0.1%
32 1
 
< 0.1%
31 6
< 0.1%
30 1
 
< 0.1%
29 1
 
< 0.1%

stem-surface
Real number (ℝ)

ZEROS 

Distinct61
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.229022
Minimum0
Maximum60
Zeros1980861
Zeros (%)63.6%
Negative0
Negative (%)0.0%
Memory size23.8 MiB
2024-08-21T11:17:03.316892image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile7
Maximum60
Range60
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.1193438
Coefficient of variation (CV)1.7244148
Kurtosis5.0140034
Mean1.229022
Median Absolute Deviation (MAD)0
Skewness1.9192093
Sum3830794
Variance4.491618
MonotonicityNot monotonic
2024-08-21T11:17:03.503870image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1980861
63.6%
2 327610
 
10.5%
1 255500
 
8.2%
7 224346
 
7.2%
3 147974
 
4.7%
4 78080
 
2.5%
6 73383
 
2.4%
5 28283
 
0.9%
8 512
 
< 0.1%
13 49
 
< 0.1%
Other values (51) 347
 
< 0.1%
ValueCountFrequency (%)
0 1980861
63.6%
1 255500
 
8.2%
2 327610
 
10.5%
3 147974
 
4.7%
4 78080
 
2.5%
5 28283
 
0.9%
6 73383
 
2.4%
7 224346
 
7.2%
8 512
 
< 0.1%
9 20
 
< 0.1%
ValueCountFrequency (%)
60 1
< 0.1%
59 1
< 0.1%
58 1
< 0.1%
57 1
< 0.1%
56 1
< 0.1%
55 1
< 0.1%
54 1
< 0.1%
53 1
< 0.1%
52 1
< 0.1%
51 2
< 0.1%

stem-color
Real number (ℝ)

Distinct60
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9630975
Minimum0
Maximum59
Zeros38
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size23.8 MiB
2024-08-21T11:17:03.688432image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median3
Q34
95-th percentile9
Maximum59
Range59
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.3247188
Coefficient of variation (CV)0.78455695
Kurtosis4.6034474
Mean2.9630975
Median Absolute Deviation (MAD)2
Skewness1.8018653
Sum9235812
Variance5.4043173
MonotonicityNot monotonic
2024-08-21T11:17:03.877837image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1196637
38.4%
3 1003464
32.2%
4 373971
 
12.0%
9 132019
 
4.2%
2 111541
 
3.6%
5 103373
 
3.3%
6 67017
 
2.2%
7 54690
 
1.8%
11 33676
 
1.1%
10 22329
 
0.7%
Other values (50) 18228
 
0.6%
ValueCountFrequency (%)
0 38
 
< 0.1%
1 1196637
38.4%
2 111541
 
3.6%
3 1003464
32.2%
4 373971
 
12.0%
5 103373
 
3.3%
6 67017
 
2.2%
7 54690
 
1.8%
8 573
 
< 0.1%
9 132019
 
4.2%
ValueCountFrequency (%)
59 1
< 0.1%
58 1
< 0.1%
57 1
< 0.1%
56 1
< 0.1%
55 1
< 0.1%
54 1
< 0.1%
53 1
< 0.1%
52 1
< 0.1%
51 1
< 0.1%
50 1
< 0.1%

veil-type
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct23
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.051408992
Minimum0
Maximum22
Zeros2957493
Zeros (%)94.9%
Negative0
Negative (%)0.0%
Memory size23.8 MiB
2024-08-21T11:17:04.046432image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum22
Range22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.22865623
Coefficient of variation (CV)4.4477867
Kurtosis362.78056
Mean0.051408992
Median Absolute Deviation (MAD)0
Skewness8.4835321
Sum160239
Variance0.052283671
MonotonicityNot monotonic
2024-08-21T11:17:04.197554image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 2957493
94.9%
1 159373
 
5.1%
14 11
 
< 0.1%
3 9
 
< 0.1%
8 8
 
< 0.1%
11 8
 
< 0.1%
16 5
 
< 0.1%
7 5
 
< 0.1%
6 4
 
< 0.1%
9 4
 
< 0.1%
Other values (13) 25
 
< 0.1%
ValueCountFrequency (%)
0 2957493
94.9%
1 159373
 
5.1%
2 2
 
< 0.1%
3 9
 
< 0.1%
4 2
 
< 0.1%
5 1
 
< 0.1%
6 4
 
< 0.1%
7 5
 
< 0.1%
8 8
 
< 0.1%
9 4
 
< 0.1%
ValueCountFrequency (%)
22 1
 
< 0.1%
21 3
 
< 0.1%
20 1
 
< 0.1%
19 2
 
< 0.1%
18 4
 
< 0.1%
17 3
 
< 0.1%
16 5
< 0.1%
15 2
 
< 0.1%
14 11
< 0.1%
13 1
 
< 0.1%

veil-color
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct25
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2826585
Minimum0
Maximum24
Zeros2740947
Zeros (%)87.9%
Negative0
Negative (%)0.0%
Memory size23.8 MiB
2024-08-21T11:17:04.348183image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum24
Range24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.85164219
Coefficient of variation (CV)3.0129722
Kurtosis18.070201
Mean0.2826585
Median Absolute Deviation (MAD)0
Skewness3.703366
Sum881031
Variance0.72529442
MonotonicityNot monotonic
2024-08-21T11:17:04.506500image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 2740947
87.9%
2 279070
 
9.0%
4 30473
 
1.0%
1 30039
 
1.0%
6 14026
 
0.4%
3 13080
 
0.4%
5 9169
 
0.3%
9 30
 
< 0.1%
7 23
 
< 0.1%
10 14
 
< 0.1%
Other values (15) 74
 
< 0.1%
ValueCountFrequency (%)
0 2740947
87.9%
1 30039
 
1.0%
2 279070
 
9.0%
3 13080
 
0.4%
4 30473
 
1.0%
5 9169
 
0.3%
6 14026
 
0.4%
7 23
 
< 0.1%
8 6
 
< 0.1%
9 30
 
< 0.1%
ValueCountFrequency (%)
24 1
 
< 0.1%
23 1
 
< 0.1%
22 4
 
< 0.1%
21 3
 
< 0.1%
20 7
< 0.1%
19 4
 
< 0.1%
18 1
 
< 0.1%
17 6
< 0.1%
16 13
< 0.1%
15 4
 
< 0.1%

has-ring
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.240275
Minimum0
Maximum23
Zeros24
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size23.8 MiB
2024-08-21T11:17:04.658019image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum23
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.43089713
Coefficient of variation (CV)0.34742063
Kurtosis18.404888
Mean1.240275
Median Absolute Deviation (MAD)0
Skewness1.7268417
Sum3865869
Variance0.18567234
MonotonicityNot monotonic
2024-08-21T11:17:04.804716image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 2368820
76.0%
2 747982
 
24.0%
0 24
 
< 0.1%
4 16
 
< 0.1%
3 13
 
< 0.1%
6 11
 
< 0.1%
9 11
 
< 0.1%
10 11
 
< 0.1%
11 11
 
< 0.1%
8 8
 
< 0.1%
Other values (14) 38
 
< 0.1%
ValueCountFrequency (%)
0 24
 
< 0.1%
1 2368820
76.0%
2 747982
 
24.0%
3 13
 
< 0.1%
4 16
 
< 0.1%
5 3
 
< 0.1%
6 11
 
< 0.1%
7 6
 
< 0.1%
8 8
 
< 0.1%
9 11
 
< 0.1%
ValueCountFrequency (%)
23 1
 
< 0.1%
22 1
 
< 0.1%
21 1
 
< 0.1%
20 1
 
< 0.1%
19 4
< 0.1%
18 2
 
< 0.1%
17 2
 
< 0.1%
16 3
< 0.1%
15 1
 
< 0.1%
14 6
< 0.1%

ring-type
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct41
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4754415
Minimum0
Maximum40
Zeros128880
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size23.8 MiB
2024-08-21T11:17:04.967169image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile5
Maximum40
Range40
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.4048795
Coefficient of variation (CV)0.9521757
Kurtosis10.673921
Mean1.4754415
Median Absolute Deviation (MAD)0
Skewness2.8716991
Sum4598870
Variance1.9736865
MonotonicityNot monotonic
2024-08-21T11:17:05.154921image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1 2477170
79.5%
0 128880
 
4.1%
3 120006
 
3.9%
2 113780
 
3.7%
5 73443
 
2.4%
7 67909
 
2.2%
4 67678
 
2.2%
6 63687
 
2.0%
8 3992
 
0.1%
12 98
 
< 0.1%
Other values (31) 302
 
< 0.1%
ValueCountFrequency (%)
0 128880
 
4.1%
1 2477170
79.5%
2 113780
 
3.7%
3 120006
 
3.9%
4 67678
 
2.2%
5 73443
 
2.4%
6 63687
 
2.0%
7 67909
 
2.2%
8 3992
 
0.1%
9 25
 
< 0.1%
ValueCountFrequency (%)
40 1
< 0.1%
39 1
< 0.1%
38 1
< 0.1%
37 1
< 0.1%
36 1
< 0.1%
35 1
< 0.1%
34 1
< 0.1%
33 1
< 0.1%
32 1
< 0.1%
31 1
< 0.1%

spore-print-color
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.19676606
Minimum0
Maximum32
Zeros2849682
Zeros (%)91.4%
Negative0
Negative (%)0.0%
Memory size23.8 MiB
2024-08-21T11:17:05.328586image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum32
Range32
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.76747811
Coefficient of variation (CV)3.9004597
Kurtosis37.69536
Mean0.19676606
Median Absolute Deviation (MAD)0
Skewness5.104824
Sum613309
Variance0.58902265
MonotonicityNot monotonic
2024-08-21T11:17:05.494490image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 2849682
91.4%
1 107310
 
3.4%
3 68237
 
2.2%
2 50173
 
1.6%
4 22646
 
0.7%
5 7975
 
0.3%
6 7256
 
0.2%
7 3492
 
0.1%
12 36
 
< 0.1%
14 21
 
< 0.1%
Other values (23) 117
 
< 0.1%
ValueCountFrequency (%)
0 2849682
91.4%
1 107310
 
3.4%
2 50173
 
1.6%
3 68237
 
2.2%
4 22646
 
0.7%
5 7975
 
0.3%
6 7256
 
0.2%
7 3492
 
0.1%
8 13
 
< 0.1%
9 14
 
< 0.1%
ValueCountFrequency (%)
32 1
 
< 0.1%
31 1
 
< 0.1%
30 1
 
< 0.1%
29 1
 
< 0.1%
28 1
 
< 0.1%
27 1
 
< 0.1%
26 2
< 0.1%
25 4
< 0.1%
24 2
< 0.1%
23 1
 
< 0.1%

habitat
Real number (ℝ)

Distinct53
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7811331
Minimum0
Maximum52
Zeros45
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size23.8 MiB
2024-08-21T11:17:05.676935image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile6
Maximum52
Range52
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4425122
Coefficient of variation (CV)0.80988453
Kurtosis12.325714
Mean1.7811331
Median Absolute Deviation (MAD)0
Skewness2.37436
Sum5551694
Variance2.0808413
MonotonicityNot monotonic
2024-08-21T11:17:05.867162image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 2177573
69.9%
3 454908
 
14.6%
2 171892
 
5.5%
6 150969
 
4.8%
4 120137
 
3.9%
8 18530
 
0.6%
5 17180
 
0.6%
7 5264
 
0.2%
23 55
 
< 0.1%
12 52
 
< 0.1%
Other values (43) 385
 
< 0.1%
ValueCountFrequency (%)
0 45
 
< 0.1%
1 2177573
69.9%
2 171892
 
5.5%
3 454908
 
14.6%
4 120137
 
3.9%
5 17180
 
0.6%
6 150969
 
4.8%
7 5264
 
0.2%
8 18530
 
0.6%
9 34
 
< 0.1%
ValueCountFrequency (%)
52 1
< 0.1%
51 1
< 0.1%
50 1
< 0.1%
49 1
< 0.1%
48 1
< 0.1%
47 1
< 0.1%
46 1
< 0.1%
45 1
< 0.1%
44 1
< 0.1%
43 1
< 0.1%

season
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size172.4 MiB
0
1543321 
2
1153588 
1
278189 
3
 
141847

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters3116945
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row2
5th row0

Common Values

ValueCountFrequency (%)
0 1543321
49.5%
2 1153588
37.0%
1 278189
 
8.9%
3 141847
 
4.6%

Length

2024-08-21T11:17:06.030958image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-08-21T11:17:06.397480image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
ValueCountFrequency (%)
0 1543321
49.5%
2 1153588
37.0%
1 278189
 
8.9%
3 141847
 
4.6%

Most occurring characters

ValueCountFrequency (%)
0 1543321
49.5%
2 1153588
37.0%
1 278189
 
8.9%
3 141847
 
4.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3116945
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 1543321
49.5%
2 1153588
37.0%
1 278189
 
8.9%
3 141847
 
4.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3116945
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 1543321
49.5%
2 1153588
37.0%
1 278189
 
8.9%
3 141847
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3116945
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 1543321
49.5%
2 1153588
37.0%
1 278189
 
8.9%
3 141847
 
4.6%

Interactions

2024-08-21T11:16:40.715113image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:13:58.261866image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:07.031168image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:15.902076image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:24.781990image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:33.621348image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:42.131790image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:50.886860image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:00.151740image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:08.513524image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:17.033009image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:25.193512image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:33.756605image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:42.050004image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:50.426477image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:59.011734image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:07.343267image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:15.589158image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:23.752800image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:32.470520image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:41.145238image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:13:58.690293image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:07.459326image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:16.344925image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:25.218386image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:34.063192image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:42.553263image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:51.341708image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:00.582554image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:08.956103image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:17.458554image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:25.630426image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:34.181557image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:42.479044image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:50.867179image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:59.432084image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:07.768611image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:16.009243image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:24.194036image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:32.895044image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:41.593869image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:13:59.300561image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:07.915103image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:16.755249image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:25.667789image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:34.504663image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:42.997443image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:51.806999image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:01.031013image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:09.419925image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:17.867002image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:26.054069image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:34.612586image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:42.926461image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:51.327284image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:59.854936image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:08.196767image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:16.435236image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:24.658755image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:33.336388image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:42.012772image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:13:59.740916image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:08.364778image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:17.206342image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:26.079871image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:34.933774image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:43.443440image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:52.283332image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:01.457540image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:09.857940image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:18.275485image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:26.475756image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:35.026238image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:43.344953image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:51.759143image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:00.488238image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:08.611910image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:16.845788image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:25.085842image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:33.749149image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:42.422166image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:00.166443image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:08.793138image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:17.648172image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:26.522853image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:35.318880image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:43.872726image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:52.739123image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:01.864945image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:10.275376image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:18.672517image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:26.890726image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:35.427366image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:43.751296image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:52.179287image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:00.884998image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:09.013263image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:17.240668image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:25.503822image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:34.151200image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:42.849595image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:00.610241image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:09.266587image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:18.107142image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:26.996153image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:35.762370image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:44.268988image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:53.205518image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:02.291173image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:10.713261image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:19.086471image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:27.316494image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:35.849097image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:44.200177image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:52.614965image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:01.320160image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:09.436641image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:17.652596image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:25.937099image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:34.573990image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:43.263912image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:01.040044image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:09.782837image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:18.554370image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:27.476460image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:36.185753image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:44.715859image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:53.618979image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:02.721153image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:11.134313image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:19.489020image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:27.732571image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:36.255863image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:44.621666image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:53.038313image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:01.728929image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:09.839634image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:18.056700image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:26.355166image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:34.992427image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:43.690796image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:01.487720image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:10.256189image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:19.014639image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:27.960039image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:36.625198image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:45.210293image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:54.079866image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:03.150134image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:11.571511image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:19.907826image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:28.159123image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:36.676689image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:45.050724image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:53.474255image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:02.143605image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:10.261477image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:18.478481image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:26.779093image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:35.420007image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:44.102467image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:01.914567image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:10.686820image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:19.462803image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:28.400955image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:37.048810image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:45.653618image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:54.535421image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:03.569168image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:11.980891image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:20.314456image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:28.579893image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:37.081949image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:45.477588image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:53.899188image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:02.543430image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:10.664438image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:18.875188image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:27.204973image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:35.833652image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:44.500816image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:02.318535image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:11.110910image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:19.883699image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:29.027622image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:37.459003image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:46.059577image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:54.960376image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:03.965197image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:12.396617image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:20.725818image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:29.001510image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:37.475946image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:45.881288image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:54.308288image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:02.929745image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:11.058180image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:19.259615image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:27.616146image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:36.235177image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:44.899280image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:02.710874image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:11.535414image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:20.294395image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:29.428382image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:37.867378image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:46.455210image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:55.379683image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:04.362354image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:12.806230image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:21.136445image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:29.397432image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:37.866566image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:46.286766image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:54.716729image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:03.316487image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:11.449950image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:19.644578image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:28.024988image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:36.629035image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:45.319533image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:03.139553image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:11.973312image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:20.744791image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:29.846176image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:38.302214image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:46.897573image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:55.832772image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:04.782136image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:13.233432image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:21.536228image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:29.803739image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:38.276691image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:46.704335image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:55.148258image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:03.725542image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:11.867452image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:20.082999image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:28.448906image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:37.042356image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:45.741218image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:03.581156image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:12.415106image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:21.196122image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:30.267154image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:38.736751image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:47.356075image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:56.297986image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:05.199508image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:13.663393image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:21.951298image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:30.449253image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:38.729825image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:47.102660image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:55.580900image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:04.134752image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:12.280959image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:20.514347image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:28.876802image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:37.455956image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:46.156861image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:04.011904image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:12.853253image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:21.651267image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:30.688719image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:39.162747image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:47.793310image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:56.758954image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:05.611944image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:14.086687image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:22.357807image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:30.864684image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:39.144174image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:47.525481image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:55.995453image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:04.538339image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:12.691495image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:20.917634image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:29.297734image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:37.864327image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:46.574588image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:04.445322image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:13.288742image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:22.103293image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:31.101814image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:39.593960image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:48.253185image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:57.214093image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:06.028133image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:14.510829image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:22.769479image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:31.279559image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:39.595526image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:47.937887image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:56.461000image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:04.918625image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:13.102408image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:21.341197image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:29.716981image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:38.274462image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:46.981480image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:04.867310image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:13.716352image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:22.543963image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:31.507079image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:40.014810image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:48.695419image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:57.660475image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:06.434130image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:14.926236image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:23.171392image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:31.684909image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:39.998334image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:48.340954image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:56.899915image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:05.322085image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:13.477877image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:21.741641image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:30.124806image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:38.676537image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:47.419858image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:05.294325image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:14.147751image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:22.987969image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:31.924595image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:40.438148image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:49.119936image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:58.115400image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:06.847203image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:15.350372image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:23.567606image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:32.099212image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:40.404625image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:48.756344image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:57.324574image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:05.723890image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:13.913604image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:22.110793image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:30.537996image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:39.084666image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:47.829036image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:05.717331image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:14.574662image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:23.429213image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:32.360224image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:40.856446image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:49.545353image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:58.565627image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:07.253263image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:15.767874image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:23.960129image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:32.506344image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:40.807069image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:49.165267image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:57.742581image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:06.117152image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:14.347850image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:22.522218image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:30.920222image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:39.487023image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:48.253897image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:06.158855image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:15.020049image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:23.882354image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:32.784471image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:41.296361image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:50.000374image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:59.030050image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:07.679527image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:16.202400image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:24.382784image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:32.928363image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:41.226468image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:49.587166image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:58.180729image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:06.531568image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:14.776414image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:22.948466image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:31.594496image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:39.879961image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:48.646464image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:06.591331image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:15.463540image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:24.335289image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:33.207496image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:41.724358image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:50.438248image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:14:59.713672image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:08.096480image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:16.630635image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:24.784826image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:33.346271image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:41.636965image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:50.002319image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:15:58.607244image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:06.937254image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:15.187906image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:23.350158image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:32.050650image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-08-21T11:16:40.296120image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Correlations

2024-08-21T11:17:06.524995image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
cap-colorcap-diametercap-shapecap-surfaceclassdoes-bruise-or-bleedgill-attachmentgill-colorgill-spacinghabitathas-ringidring-typeseasonspore-print-colorstem-colorstem-heightstem-rootstem-surfacestem-widthveil-colorveil-type
cap-color1.0000.0500.0290.1240.1130.042-0.0140.070-0.043-0.1260.0490.000-0.0270.0430.1060.1960.080-0.0680.0060.0390.0460.022
cap-diameter0.0501.000-0.072-0.1640.1580.3260.381-0.064-0.047-0.2790.1790.0000.0890.091-0.107-0.1550.5120.238-0.0770.8830.1550.160
cap-shape0.029-0.0721.0000.0090.0030.1490.0010.098-0.001-0.007-0.0240.000-0.0610.001-0.0360.046-0.055-0.150-0.052-0.028-0.067-0.036
cap-surface0.124-0.1640.0091.0000.1800.087-0.0720.114-0.067-0.010-0.030-0.000-0.0370.010-0.0380.108-0.140-0.151-0.075-0.237-0.106-0.101
class0.1130.1580.0030.1801.0000.0010.0010.0290.0010.0400.0010.0000.0830.1490.1060.0510.0730.0610.0520.2180.0970.000
does-bruise-or-bleed0.0420.3260.1490.0870.0011.0000.2880.151-0.149-0.1390.0420.0010.0120.000-0.141-0.0070.1890.074-0.2440.311-0.031-0.041
gill-attachment-0.0140.3810.001-0.0720.0010.2881.0000.1070.013-0.0670.0320.0000.0000.002-0.1410.0400.060-0.0300.0410.4200.0270.068
gill-color0.070-0.0640.0980.1140.0290.1510.1071.0000.026-0.028-0.1330.001-0.1340.0500.0930.220-0.111-0.184-0.1000.001-0.174-0.237
gill-spacing-0.043-0.047-0.001-0.0670.001-0.1490.0130.0261.0000.042-0.119-0.001-0.0960.000-0.100-0.081-0.180-0.0970.1320.019-0.199-0.142
habitat-0.126-0.279-0.007-0.0100.040-0.139-0.067-0.0280.0421.0000.0230.0000.0340.0260.111-0.034-0.129-0.0090.040-0.285-0.108-0.149
has-ring0.0490.179-0.024-0.0300.0010.0420.032-0.133-0.1190.0231.000-0.0010.5350.0000.040-0.1660.2690.0890.0630.1160.4550.352
id0.0000.0000.000-0.0000.0000.0010.0000.001-0.0010.000-0.0011.000-0.0000.0000.0000.0010.0000.001-0.0000.0000.0000.000
ring-type-0.0270.089-0.061-0.0370.0830.0120.000-0.134-0.0960.0340.535-0.0001.0000.019-0.045-0.1520.1380.1220.0430.0570.3610.428
season0.0430.0910.0010.0100.1490.0000.0020.0500.0000.0260.0000.0000.0191.0000.0240.0270.0510.0350.0310.0730.0510.000
spore-print-color0.106-0.107-0.036-0.0380.106-0.141-0.1410.093-0.1000.1110.0400.000-0.0450.0241.0000.0190.054-0.0430.021-0.1330.1130.012
stem-color0.196-0.1550.0460.1080.051-0.0070.0400.220-0.081-0.034-0.1660.001-0.1520.0270.0191.000-0.121-0.0880.067-0.153-0.081-0.160
stem-height0.0800.512-0.055-0.1400.0730.1890.060-0.111-0.180-0.1290.2690.0000.1380.0510.054-0.1211.0000.2760.0040.4490.3500.299
stem-root-0.0680.238-0.150-0.1510.0610.074-0.030-0.184-0.097-0.0090.0890.0010.1220.035-0.043-0.0880.2761.000-0.0170.2230.2230.135
stem-surface0.006-0.077-0.052-0.0750.052-0.2440.041-0.1000.1320.0400.063-0.0000.0430.0310.0210.0670.004-0.0171.000-0.163-0.103-0.020
stem-width0.0390.883-0.028-0.2370.2180.3110.4200.0010.019-0.2850.1160.0000.0570.073-0.133-0.1530.4490.223-0.1631.0000.1550.138
veil-color0.0460.155-0.067-0.1060.097-0.0310.027-0.174-0.199-0.1080.4550.0000.3610.0510.113-0.0810.3500.223-0.1030.1551.0000.621
veil-type0.0220.160-0.036-0.1010.000-0.0410.068-0.237-0.142-0.1490.3520.0000.4280.0000.012-0.1600.2990.135-0.0200.1380.6211.000

Missing values

2024-08-21T11:16:48.889462image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
A simple visualization of nullity by column.
2024-08-21T11:16:51.973354image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

idclasscap-diametercap-shapecap-surfacecap-colordoes-bruise-or-bleedgill-attachmentgill-spacinggill-colorstem-heightstem-widthstem-rootstem-surfacestem-colorveil-typeveil-colorhas-ringring-typespore-print-colorhabitatseason
0008.8011111114.5115.390010011010
1114.5122211124.796.480120022011
2206.9411312116.859.930230011021
3303.8813413034.166.530010011012
4405.8524514013.378.360010011030
5514.3025613125.918.200010122010
6609.65335151419.0712.690210023031
7714.5526711058.319.770040222010
8817.3612712215.7717.131010011010
9906.4525611217.1312.770050011010
idclasscap-diametercap-shapecap-surfacecap-colordoes-bruise-or-bleedgill-attachmentgill-spacinggill-colorstem-heightstem-widthstem-rootstem-surfacestem-colorveil-typeveil-colorhas-ringring-typespore-print-colorhabitatseason
31169353116935114.58286170714.7835.764110011010
3116936311693611.70211610024.771.610030011011
3116937311693710.6927210053.510.730040011012
3116938311693819.08751024178.0714.700070021010
3116939311693919.3050716363.4225.380430011012
3116940311694009.29106200112.1418.811011226012
31169413116941010.8870524176.6526.970010011012
3116942311694217.8226711019.5111.060040222010
3116943311694309.4539625079.1317.770110024012
3116944311694413.2021414112.827.790010011032